tidyr
tidyr replaced separate() with a family that says what it does.
A side-by-side editorial comparison of modeltime and Simple Analytics — release velocity, themes, recent moves, and the top alternatives to consider.
modeltime built conformal intervals in, then went quiet on features.
modeltime is at 1.3.3, a single change making the package robust to xgboost version shifts. The feature weight sits in 1.3.2, which added a future-based parallel backend, the maape() accuracy metric and dials helpers for ADAM engine tuning, and further back in the 1.2.8 and 1.3.0 pair that introduced conformal prediction intervals and then carried them through the nested forecasting workflow.
Privacy analytics tightening its API and moving IP blocking off the CDN
The feed stores each change several times — once with the body text captured as the title, once as a clean headline, sometimes a third time with a date prefix. Behind the duplication, three real changes: API v6 with proper interval support while v5 stays unchanged for compatibility, IP blocking moved off the bunny.net CDN so it works on custom domains and applies per site rather than account-wide, and Events Explorer readability work with column truncation, a full-width toggle and collapsible headers.
modeltime is at 1.3.3, a single change making the package robust to xgboost version shifts. The feature weight sits in 1.3.2, which added a future-based parallel backend, the maape() accuracy metric and dials helpers for ADAM engine tuning, and further back in the 1.2.8 and 1.3.0 pair that introduced conformal prediction intervals and then carried them through the nested forecasting workflow.
The arc runs from uncertainty quantification to execution. Conformal intervals arrived first and were then threaded through nested fitting, refitting and the printed forecast tables so users can see which confidence method produced an interval. The later work moves down a layer to how forecasts are computed — a portable future backend replacing foreach tuning — rather than what they express.
With only an xgboost compatibility fix since the 1.3.2 feature release, the entries do not support a confident prediction about what comes next beyond continued dependency maintenance.
The feed stores each change several times — once with the body text captured as the title, once as a clean headline, sometimes a third time with a date prefix. Behind the duplication, three real changes: API v6 with proper interval support while v5 stays unchanged for compatibility, IP blocking moved off the bunny.net CDN so it works on custom domains and applies per site rather than account-wide, and Events Explorer readability work with column truncation, a full-width toggle and collapsible headers.
The work is about removing borrowed constraints. IP blocking inherited the CDN's limits and blast radius; moving it in-house made it per-site and custom-domain compatible. API v6 does the same for time handling — hourly data separates day and hour, weeks and months carry explicit start dates — while keeping v5 stable so nobody is forced to migrate. Both are the moves of a product whose users integrate it and stay.
With v6 shipped alongside an unchanged v5, expect a deprecation timeline for v5 to be the next API announcement, though the entries do not name one.
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either modeltime or Simple Analytics.
tidyr replaced separate() with a family that says what it does.
performance keeps adding ways to check a model you have already fitted.
CmdStanPy is clearing deprecations ahead of a 2.0 it keeps announcing.
DoWhy adds one estimation method a year and keeps its identification edge.
OpenHouse is hardening the seams where table policies and jobs quietly fail.
silx 3.0 moved its default Qt binding to PySide6 — a migration for everyone embedding it.
See all modeltime alternatives → · See all Simple Analytics alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. modeltime and Simple Analytics are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. modeltime and Simple Analytics are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top modeltime alternatives in Analytics are ranked by recent ship velocity. Browse the "modeltime alternatives" section above for the current picks, or visit /alternatives/modeltime for the full list with editorial commentary on each.
Top Simple Analytics alternatives in Analytics are ranked by recent ship velocity. Browse the "Simple Analytics alternatives" section above for the current picks, or visit /alternatives/simple-analytics for the full list with editorial commentary on each.